{"id":"W1604934725","doi":"","title":"Interacting with big interfaces on small screens: a comparison of fisheye, zoom, and panning techniques","year":2004,"lang":"en","type":"article","venue":"","topic":"Interactive and Immersive Displays","field":"Computer Science","cited_by":101,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Panning (audio); Zoom; Computer science; Task (project management); Mobile device; Software; User interface; Scrolling; Computer graphics (images); Display size; Interface (matter); Human–computer interaction; Computer vision; Artificial intelligence; Display device; Operating system; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002016558,0.001397835,0.000858944,0.001212731,0.0003858417,0.001493519,0.001766186,0.001258052,0.007029853],"category_scores_gemma":[0.01041264,0.000797431,0.0008987859,0.0006765018,0.0009189979,0.003550707,0.002038772,0.0008821419,0.0008800685],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000355183,"about_ca_system_score_gemma":0.0004689039,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001855047,"about_ca_topic_score_gemma":0.002392674,"domain_scores_codex":[0.9978077,0.0009127568,0.0001302322,0.000262976,0.000734304,0.0001521425],"domain_scores_gemma":[0.9877793,0.01006459,0.0002842549,0.0007463772,0.0008114188,0.0003140239],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003147613,0.0006152179,0.003967703,0.004634622,0.0004232179,0.0003876345,0.007634302,0.002335796,0.1349614,0.004603174,0.005289002,0.8320003],"study_design_scores_gemma":[0.003325201,0.03135413,0.2685875,0.006144451,0.00455937,0.01828874,0.02152101,0.1449518,0.257573,0.02208837,0.219222,0.002384549],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4059452,0.02697536,0.5203763,0.0007857367,0.0002771952,0.00142332,0.0004159598,0.00843718,0.03536378],"genre_scores_gemma":[0.5560468,0.01063923,0.4226257,0.0004012125,0.0001219626,0.0006821426,0.0005503868,0.0009297447,0.008002806],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007029853,"threshold_uncertainty_score":0.02351725,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03696868519383856,"score_gpt":0.2919094070387256,"score_spread":0.254940721844887,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}